Data Scientist

Alzheimer’s disease is a leading cause of death in the United States, and scalable digital tools for prevention and early detection are urgently needed. Our team is building machine learning–driven digital biomarkers from wearable sleep electroencephalography (EEG) to assess neurodegenerative changes before symptoms appear.

We’re seeking a Data Scientist who can analyze real‑world datasets and build well‑documented, reproducible machine‑learning pipelines in Python. You will drive exploratory data analysis, feature engineering, and model development (scikit‑learn and preferably PyTorch, or a similar framework), while applying solid software practices that make results reliable and repeatable. Some examples of projects that the finalist might work on include brain aging phenotypes from EEG derived features, cognitive decline trajectories, linking oscillatory circuits to performance, and neuroimaging/biomarkers correlates, integrating EEG with Alzheimer’s molecular/structural measures.

Candidates with backgrounds in Biostatistics, Statistics, Computer Science, Applied Mathematics, Biomedical/Bioengineering, Electrical/Computer Engineering, Neuroscience, and/or Research Software Engineering who bring strong data‑analysis skills and practical ML experience are encouraged to apply. Equivalent real‑world experience is welcome.

• Document experiments and results clearly; draft brief model cards and dataset summaries.
• Perform exploratory data analysis on sleep EEG and related datasets; define targets, features, and baselines.
• Train, evaluate, and compare models (classification/regression, cross validation, regularization, calibration, error analysis).
• Implement and tune ML pipelines (scikit learn; PyTorch/Tensor Flow preferred for deep learning tasks).
• Keep data steps reproducible with configuration, run scripts, and sensible versioning of code/data.
• Build and maintain robust workflows to ingest, validate, and transform data into analysis ready formats.
• Other duties as assigned.

Hybrid – this role is eligible for a hybrid schedule of 3 days per week on campus and as needed for in‑person meetings.

The University of Colorado Anschutz Medical Campus is a public education, clinical and research facility serving 4,500 students, and a world‑class medical destination at the forefront of life‑changing science, medicine, and healthcare. CU Anschutz offers more than 42 highly rated degree programs through 6 schools and colleges, supported by $704 million in research awards in fiscal year 2023, creating an overall economic impact to the state of Colorado of $11.5 billion.

We are the single largest health professions education provider in Colorado, awarding nearly 1,450 degrees annually. Powered by our award‑winning faculty, renowned researchers and a reputation for academic excellence, the CU Anschutz Medical Campus drives innovation from the classroom to the laboratory to the delivery of unparalleled patient care.

• Medical:
  Multiple plan options
• Dental:
  Multiple plan options
• Additional Insurance:
  Disability, Life, Vision
• Retirement 401(a) Plan:
  Employer contributes 10% of your gross pay
• Paid Time Off:
  Accruals over the year
• Vacation Days: 22 / year (maximum accrual 352 hours)
• Holiday Days: 10 / year
• Tuition Benefit:
  Employees have access to this benefit on all CU campuses
• ECO Pass:
  Reduced rate RTD Bus and light rail service

• Bachelor’s in Computer Science, Electrical/Computer Engineering, Data Science, Statistics, Applied Math, Neuroscience, or a related field from an accredited institution.
• Two (2) years of professional IT project management experience, which included open source or AI/Machine Learning projects.
• Substitution:
  An advanced degree (Masters or Doctorate) may be substituted for experience on a year for year basis if the degree is in a field of study directly related to the work assignment.
• Intermediate
  :
  • Bachelor’s in Computer Science, Electrical/Computer Engineering, Data Science, Statistics, Applied Math, Neuroscience, or a related field from an accredited institution.
  • One (1) year of professional IT project management experience, which included…